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Cybernetic applications against COVID-19
Hyhlík, Pavel ; Lázna, Tomáš (referee) ; Chromý, Adam (advisor)
This bachelor thesis deals with possible solutions of the COVID-19 crisis, with the help of knowledge in the field of cybernetics. It describes problems that cause spread of the disease, precautions that have been made and possibilities for improvement of their efficiency using this specialization, or also new solutions. The advantages and disadvantages of particular solutions and their effect on spread will be analysed as well. A system for spacing monitoring is chosen and constructed from them.
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The Influence of COVID19 on Economic Performance - a Comparative Study
Looman, Polina ; Oulehla, Jiří (referee) ; Luňáček, Jiří (advisor)
The work is focused on the current situation of the COVID-19 pandemic and its impact on the world economy. The work describes the impact of the pandemic on the whole world. The practical part is focused on the impact of GDP on various countries and the main goal of this work is to evaluate the effects of the COVID19 pandemic on the economic performance of countries and to propose certain recommendations that will help streamline the world economy. The partial goals of the work are: summary of circumstances that led to the declaration of a state of emergency and describe crisis management in the world during the COVID-19 pandemic, creation of data base, creation of econometric model and its testing, evaluation of results, In order to develop my work were found relevant study materials . The methods used in the bachelor thesis are descriptive-analytical in nature.
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Impact of the COVID-19 Pandemic on Contruction Companies in the Czech Republic
Mudrych, Marek ; Všetečka, Jan (referee) ; Nováková, Jana (advisor)
The bachelor's thesis describes and evaluates the impact of the COVID-19 pandemic on construction companies in the Czech Republic using controlled interviews with representatives of companies and a questionnaire solution. The theoretical part generally describes problems caused by the coronavirus pandemic, which affect Czech construction industry. It is a description of the process of the pandemic in the Czech Republic, a description of selected anti-epidemic measures and government compensation bonuses. Part of the work is a description of the effects of the pandemic at the selected construction company and also prepared part of the documentation to management construction contract.
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Epidemiological modeling of Covid-19
Motlíčková, Klára ; Ředina, Richard (referee) ; Mézl, Martin (advisor)
This bachelor thesis deals with matematical compartment modeling of the COVID-19 pandemic. The basic epidemiological models are presented and six studies that deal with the behavior of the SARS-CoV-2 virus under different conditions are presented. On the SIR model are estimated parameters for first and fourth wave of the epidemic, using algorithm in MATLAB is made optimalization for all the waves of epidemic in the Czech Republic and also for the fourth wave on the SEIR model. The impact of antiepidemic measures is modelled on the SIR model.
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Machine Learning-Aided Monitoring and Prediction of Respiratory and Neurodegenerative Diseases Using Wearables
Skibińska, Justyna ; Esposito, Anna (referee) ; Faundez-Zanuy, Marcos (referee) ; Hošek, Jiří (advisor)
This thesis focuses on wearables for health status monitoring, covering applications aimed at emergency solutions to the COVID-19 pandemic and aging society. The methods of ambient assisted living (AAL) are presented for the neurodegenerative disease Parkinson's disease (PD), facilitating 'aging in place' thanks to machine learning and around wearables - solutions of mHealth. Furthermore, the approaches using machine learning and wearables are discussed for early-stage COVID-19 detection. Firstly, a publicly available dataset containing COVID-19, influenza, and healthy control data was reused for research purposes. The solution presented in this thesis is considering the classification problem and outperformed the state-of-the-art methods, whereas the original paper introduced just anomaly detection. The proposed model in the thesis for early detection of COVID-19 achieved 78 % for the k-NN classifier. Moreover, a second dataset available on request was utilized for recognition between COVID-19 cases and two types of influenza. The scrutinisation in the form of the classification between the COVID-19 and Influensa groups is proposed as the extension to the research presented in the original paper. The accuracy of the distinction between COVID-19 cases and influenza in the middle of the pandemic was equal to 73 % thanks to the k-NN. Furthermore, the contribution as the classification model of two aforementioned combined datasets was provided, and COVID-19 cases were able to be distinguished from healthy controls with 73 % accuracy thanks to XGBoost algorithm. The undeniable advantage of the illustrated approaches is taking into consideration the incubation period and contagiousness of the disease. In addition, some solutions for the detection of the aforementioned aging society phenomenon are presented. This study explores the possibility of fusing computerised analysis of hypomimia and hypokinetic dysarthria for the spectrum of Czech speech exercises. The introduced dataset is unique in this field because of its diversity and myriad of speech exercises. The aim is to introduce a new techniques of PD diagnosis that could be easily integrated into mHealth systems. A classifier based on XGBoost was used, and SHAP values were used to ensure interpretability. The presented interpretability allows for the identification of clinically valuable biomarkers. Moreover, the fusion of video and audio modalities increased the balanced accuracy to 83 %. This methodology pointed out the most indicative speech exercise – tongue twister from the clinical point of view. Furthermore, this work belongs to just a few studies which tackle the subject of utilising multimodality for PD and this approach was profitable in contrast with a single modality. Another study, presented in this thesis, investigated the possibility of detecting Parkinson's disease by observing changes in emotion expression during difficult-to-pronounce speech exercises. The obtained model with XGBoost achieved 69 % accuracy for a tongue twister. The usage of facial features, emotion recognition, and computational analysis of tongue twister was proved to be successful in PD detection, which is the key novelty and contribution of this study. Additionally, the unique overview of potential methodologies suitable for the detection of PD based on sleep disorders was depicted.
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Cybernetic applications against COVID-19
Hyhlík, Pavel ; Jílek, Tomáš (referee) ; Chromý, Adam (advisor)
This bachelor thesis deals with possible solutions of the COVID-19 crisis, with the help of knowledge in the field of cybernetics. It describes problems that cause spread of the disease, precautions that have been made and possibilities for improvement of their efficiency using this specialization, or also new solutions. The advantages and disadvantages of particular solutions and their effect on spread will be analysed as well. A system for spacing monitoring is chosen and constructed from them.
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Stratégia rozvoja cestovnej kancelárie Freibus s.r.o. po pandémii Covid-19
Freivaldová, Mária
Freivaldová, M., Strategy of development of travel agency Freibus s.r.o. after the Covid-19 pandemic. Bachelor thesis. Brno: Mendel University in Brno, 2023. The subject of the bachelor thesis is an evaluation of a current situation of the travel agency Freibus s.r.o. because of the global Covid-19 pandemic and the subsequent formulation of strategic proposals that will lead to its development and increase of its awareness. In the literary research of the work are defined the basics of theoretical knowledge of tourism, strategic management, and analytical tools. At the same time, we pay attention to the definition of the specifics of the coronavirus in the literature search. The analytical part evaluates the external environment using the model PESTE and Porter's five forces model. The internal environment of the travel agency is analysed by an extended marketing mix of 8P, related to tourism and by carrying out a financial analysis. For the subsequent evaluation of the identified factors are used the EFE and IFE matrices from which the recommended suggestions follow. Specific suggestions are ultimately time-bounded and economically based.
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Dopady současné hospodářské krize na strategickou finanční výkonnost podniků ve zpracovatelském průmyslu
Rychtová, Magdalena
The hereby presented diploma thesis addresses the effects of the global COVID-19 pandemic on selected businesses in metal production industry. The aim was to identify key factors affecting financial performance of these businesses. A comprehensive financial and economic analysis was conducted. The results show the ability of these entities to generate EBIT as crucial, and identify individual key factors. In the end, the expected scenarios of possible future development of the assessed subjects are proposed.
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Živnostenské podnikání v Covid období
Kyněrová, Veronika
The aim of the master's thesis is to assess the impact of the COVID-19 pandemic on entrepreneurial activities and the entrepreneurs themselves. The necessary information for the assessment is obtained through structured interviews with entrepreneurs and through the distribution of a questionnaire among business owners operating in the Hodonín district. Sociological research data are further subjected to testing dependencies concerning the negative impacts caused by the COVID-19 pandemic on entrepreneurs and their business sectors, requests for financial support, and the implementation of innovations. Based on the evaluated data derived from the conducted interviews, the questionnaire survey, and the verification of hypotheses, recommendations are formulated for entrepreneurs regarding changes they could implement in their business to minimize the negative impacts caused by the future crisis.
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Možnosti flexibilních forem práce v HR managementu
Jirátková, Martina
Jirátková, M. Possibilities of Flexible Forms of Work in HR Management. Diploma thesis. Brno: Mendel University, 2024. This master's thesis explores the possibilities of flexible forms of work in the field of healthcare. It includes a literature review focused on flexible forms of work, human resource management, the labour market, digitization, and the impact of the COVID-19 pandemic on human resource management. The study conducted quantitative research in the form of a questionnaire and qualitative research through semistructured interviews with representatives of selected organizations responsible for human resource management. The findings of both inquiries were appropriately analysed, leading to the formulation of relevant recommendations.
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